Latest articles
Comparing Provisioned AI Capacity Options Across AWS, Azure, Google Cloud, and OCI
Running AI in production isn’t like running another microservice. Generative AI models are heavy, ...
Provisioned Capacity for AI: A Beginner’s Guide to Dedicated vs. On-Demand AI Capacity
As seen In Asaf's LinkedIn Article Generative AI workloads introduce new challenges in cloud cost management ...
Beyond GPUs and API Calls: Understanding the True Cost of AI Initiatives
When organizations begin their journey into AI, the first costs they typically recognize are ...
FinOps in the Age of AI: A CPO’s Guide to LLM Workflows, RAG, AI Agents, and Agentic Systems
By a FinOps-aware CPO on a mission to balance innovation with cost efficiency.
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Bedrock vs. Vertex vs. Azure Cognitive: a FinOps comparison for AI spend
Everyone is shipping LLM features. Then month-end hits and someone asks the only question that matters: can ...
From Invisible to Actionable (and Affordable): A Lean Playbook for AI Cost Visibility & Control
AI spend crept up on a lot of engineering‑led teams this year. It didn’t look like classic cloud growth: a ...
The New Economics of AI: Balancing Training Costs and Inference Spend
For years, the AI conversation was all about “Can we build it?” Now the question is, “Can we afford to run ...
What You Need to Know About Generative AI Cost Attribution in AWS, Azure, and GCP
As generative AI adoption surges across industries, a quiet but expensive challenge is forming: understanding ...
Beyond GPUs and API Calls: Understanding the True Cost of AI Initiatives
When organizations begin their journey into AI, the first costs they typically recognize are ...
The Hidden Superpower of Bedrock Cost Allocation — and Its Limits
You’ve signed the Bedrock contracts. The models are running. And now you’re staring at your AWS CUR ...
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